Share Email Print
cover

Proceedings Paper

Three-dimensional scene interpretation through information fusion
Author(s): Sylvia S. Shen
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper addresses the problems of how to efficiently extract information from different data sources and how to fuse the information to achieve a more complete and accurate interpretation of the underlying 3-D scene. This paper describes an integrated approach to 3-D image interpretation. The approach is to first obtain region information by applying a multi-resolution segmentation technique to a monocular image. The elevation information is then extracted by applying an edge-based matching technique to a stereo pair covering the same scene. The region information the elevation information and the a priori knowledge about the scene are then integrated by using a rule-based scheme to classify the various objects in the scene. Results of applying this integrated technique to an overhead visible urban scene are presented. 1.

Paper Details

Date Published: 1 February 1991
PDF: 7 pages
Proc. SPIE 1382, Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods, (1 February 1991); doi: 10.1117/12.25235
Show Author Affiliations
Sylvia S. Shen, Lockheed Palo Alto Research Lab. (United States)


Published in SPIE Proceedings Vol. 1382:
Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods
David P. Casasent, Editor(s)

© SPIE. Terms of Use
Back to Top